Triple
T4425319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arcade Learning Environment |
E95193
|
entity |
| Predicate | researchCommunity |
P55917
|
FINISHED |
| Object | machine learning community |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: machine learning community | Statement: [Arcade Learning Environment, researchCommunity, machine learning community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchCommunity Context triple: [Arcade Learning Environment, researchCommunity, machine learning community]
-
A.
researchCenter
Indicates that one entity functions as a research center associated with, operated by, or focused on the other entity.
-
B.
researchUser
Indicates that an entity conducts research on, studies, or investigates a particular user.
-
C.
researchTopic
Indicates that a subject conducts or focuses research on a particular topic or area of study.
-
D.
researchContext
Indicates the situational, methodological, or thematic setting within which a particular piece of research is conducted or interpreted.
-
E.
researchSite
Indicates that a location serves as a site where research or investigative studies are conducted or based.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554e40ec8190982acc0948da2f42 |
completed | March 13, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69b34f5eabe88190a12b244ea71e46d6 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3505a87b4819083fbbd58870e520b |
completed | March 12, 2026, 11:46 p.m. |
Created at: March 12, 2026, 11:30 p.m.